• Design, develop, and operate scalable backend services and microservices using modern Python (3.11+). • Build high-performance, well-documented RESTful and/or async APIs (FastAPI / Flask), with attention to latency, throughput, and reliability. • Write clean, typed, reusable, and testable code, backed by automated tests (pytest) and meaningful coverage. • Design systems for high availability, horizontal scalability, and low latency; reason about failure modes, backpressure, and graceful degradation. • Integrate and serve AI/ML capabilities — model/LLM API integration, retrieval pipelines (RAG), vector search, and inference endpoints — in collaboration with Data Science. • Integrate relational, NoSQL, caching, and vector databases, plus cloud data warehouses (Snowflake) and cloud-based storage. • Instrument services for observability (structured logging, metrics, tracing) and own production troubleshooting and performance optimization. • Implement security best practices: authentication, authorization, secrets management, and data protection. • Participate in architecture discussions, design reviews, and code reviews; help define and uphold engineering standards. • Mentor junior engineers and contribute to a strong engineering culture. • Work with DevOps / Platform teams on CI/CD pipelines, infrastructure-as-code, and deployment automation.

• codes, tests, debugs, implements, and documents programs • assists in the modification of company products and/or customer/internal systems to meet the needs of the client and/or end-user • gathers information from the system, analyzes program and time requirements, and prepares documentation to change existing programs • researches and analyzes existing systems and program requirements, under periodic supervision • designs programs for projects or enhancements to existing programs • writes specifications for programs of low to moderate complexity • assists in resolving production support problems • develops and suggests alternative approaches to resolving problems • develops test plans to verify logic of new or modified programs • identifies issues as appropriate • creates appropriate documentation in work assignments such as program code and technical documentation • conducts quality assurance activities such as peer reviews • remains abreast of and researches industry technical trends and new development to maintain current skills and remain current with industry standards

• Design and implement APIs and data pipelines to ingest, process, and manage large volumes of structured and unstructured data • Ensure high standards of code quality, system architecture, and performance optimization for scalable data solutions • Manage end-to-end project ownership, including feature development, infrastructure enhancement, and integration with enterprise data systems • Collaborate with cloud engineers to deploy and manage Data Platform infrastructure on cloud platforms, leveraging containerization and orchestration tools such as Docker and Kubernetes

• Deliver technical enablement sessions to broad audiences of customers, partners or internal Cisco employees, in person and remotely, around Cisco’s DC Networking portfolio. • Articulate Cisco’s DC Networking messaging and strategy, with a focus on the solutions that the portfolio enables. • Develop technical marketing collateral, including white papers, solution briefs, case studies, and technical presentations. • Develop and validate customer-facing demos, lab experiences, and video content using beta and EFT code, in close collaboration with engineering and product teams. • Write and present thought leadership content, such as blog posts, webinars, and conference presentations. • Collaborate with the product and marketing teams to define messaging and positioning for DC networking solutions. • Partner with engineering, product management and technical marketing to refine product requirements and solutions, ensuring cross-portfolio consistency. • Develop persona-based solution narratives tailored to relevant buying centers, including NetOps, SecOps, platform engineering, and AI infrastructure teams. • Actively participate in roadmap discussions, feature reviews, and internal meetings to shape future product direction. • Collaborate with product management and technical marketing to track customer and partner feedback and product enhancements, from initial testing through to final external enablement. • Represent Cisco’s DC Networking business unit at industry events, trade shows, and conferences as a technical evangelist. • Represent Cisco's DCN business unit in analyst engagements, including Tech Field Days and industry analyst briefings, to validate market leadership and technical strategy. • Engage with key stakeholders to build relationships and promote the company’s solutions.